CulturalRiddles
Models solve original riddles written by people from 62 cultures in 51 languages. Solving them needs cultural knowledge plus abductive and compositional reasoning.
It had 41 Hugging Face paper upvotes and 12 GitHub stars.
- Made by
- Cohere Labs Community
- Released
- October 2026
- Kind
- Reasoning in many languages
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Strongest model tested
- GPT-5.5 #20 on the capability index
- Last model added
- July 2026
- Scores refreshed
- November 12th, 2026
In the authors’ words
As LLMs expand their language coverage, evaluating how well they understand and represent diverse cultures becomes increasingly important. However, many benchmarks remain English-centric, with limited cultural coverage and a focus on factual knowledge over its application in real-world cultural contexts. We propose CulturalRiddles, a benchmark of original, culturally grounded riddles created entirely by humans through a participatory community effort, spanning 62 cultures (45 countries, 51 languages). These riddles are deeply rooted in their respective cultures and require abductive and compositional reasoning, alongside detailed factual and social knowledge, language skills, and an understanding of culturally specific associations. We benchmark 28 LLM configurations using both automatic and large-scale human evaluation. Even frontier models achieve at most 22% accuracy in some communities. We publicly release all artifacts alongside an open contribution process to expand the benchmark's linguistic and cultural coverage.
Gemini 3.1 Pro leads with 79.4% among models released by July 2026
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
The newest model with a score here came out in July 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 15 more
- 79.4
Gemini 3.1 Pro
- 76.3 GPT-5.5
- 66.0 Claude Opus 4.7
- 63.8
DeepSeek-V4-Pro
- 50.1 Gemini 2.5 Flash (snapshot unspecified)
- 39.6
Gemma 4 31B IT
- 39.2
DeepSeek-V4-Flash
- 38.5
Mistral Large 3
- 33.6 Gemini 2.5 Flash Lite (snapshot unspecified)
- 33.5 Qwen-SEA-LION 4.5 27B Instruct
- 28.0
Qwen3.5-27B
- 19.6
Apertus 1.5 70B
- 15.2
Apertus 70B
- 15.0 EuroLLM 22B Instruct
- 14.7
Amazon Nova Lite
- 11.3
Olmo 3 32B Think
- 10.4 Qwen2.5 14B Instruct AWQ
- 10.4
Apertus 1.5 8B
- 8.30
Amazon Nova Micro
- 7.60
Apertus 8B Instruct
- 7.00
Tiny Aya Global
- 6.90
Tiny Aya Earth
- 6.80
Tiny Aya Fire
- 6.80
Tiny Aya Water
- 0.40
Qwen3.5-0.8B
- 1
Gemini 3.1 Pro default 79.4%
- 2 GPT-5.5 none 76.3%
- 3 Claude Opus 4.7 high 66%
- 4
DeepSeek-V4-Pro high 63.8%
- 5 Gemini 2.5 Flash (snapshot unspecified) default 50.1%
- 6
Gemma 4 31B IT default 39.6%
- 7
DeepSeek-V4-Flash default 39.2%
- 8
Mistral Large 3 N/A 38.5%
- 9 Gemini 2.5 Flash Lite (snapshot unspecified) default 33.6%
- 10 Qwen-SEA-LION 4.5 27B Instruct default 33.5%
- 11
Qwen3.5-27B default 28%
- 12
Apertus 1.5 70B N/A 19.6%
- 13
Apertus 70B N/A 15.2%
- 14 EuroLLM 22B Instruct N/A 15%
- 15
Amazon Nova Lite N/A 14.7%
- 16
Olmo 3 32B Think default 11.3%
- 17 Qwen2.5 14B Instruct AWQ N/A 10.4%
- 18
Apertus 1.5 8B N/A 10.4%
- 19
Amazon Nova Micro N/A 8.30%
- 20
Apertus 8B Instruct N/A 7.60%
- 21
Tiny Aya Global N/A 7.00%
- 22
Tiny Aya Earth N/A 6.90%
- 23
Tiny Aya Fire N/A 6.80%
- 24
Tiny Aya Water N/A 6.80%
- 25
Qwen3.5-0.8B default 0.40%
Source: Official CulturalRiddles leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 79.4% | default | Feb 2026 | Official leaderboard |
| 2 | GPT-5.5 | 76.3% | none | Apr 2026 | Official leaderboard |
| 3 | Claude Opus 4.7 | 66% | high | Apr 2026 | Official leaderboard |
| 4 | | 63.8% | high | Apr 2026 | Official leaderboard |
| 5 | Gemini 2.5 Flash (snapshot unspecified) | 50.1% | default | Official leaderboard | |
| 6 | | 39.6% | default | Apr 2026 | Official leaderboard |
| 7 | | 39.2% | default | Apr 2026 | Official leaderboard |
| 8 | | 38.5% | N/A | Dec 2025 | Official leaderboard |
| 9 | Gemini 2.5 Flash Lite (snapshot unspecified) | 33.6% | default | Official leaderboard | |
| 10 | Qwen-SEA-LION 4.5 27B Instruct | 33.5% | default | Official leaderboard | |
| 11 | | 28% | default | Feb 2026 | Official leaderboard |
| 12 | | 19.6% | N/A | Jul 2026 | Official leaderboard |
| 13 | | 15.2% | N/A | Sep 2025 | Official leaderboard |
| 14 | EuroLLM 22B Instruct | 15% | N/A | Official leaderboard | |
| 15 | | 14.7% | N/A | Dec 2024 | Official leaderboard |
| 16 | | 11.3% | default | Nov 2025 | Official leaderboard |
| 17 | Qwen2.5 14B Instruct AWQ | 10.4% | N/A | Official leaderboard | |
| 18 | | 10.4% | N/A | Jul 2026 | Official leaderboard |
| 19 | | 8.30% | N/A | Dec 2024 | Official leaderboard |
| 20 | | 7.60% | N/A | Sep 2025 | Official leaderboard |
| 21 | | 7.00% | N/A | Feb 2026 | Official leaderboard |
| 22 | | 6.90% | N/A | Feb 2026 | Official leaderboard |
| 23 | | 6.80% | N/A | Feb 2026 | Official leaderboard |
| 24 | | 6.80% | N/A | Feb 2026 | Official leaderboard |
| 25 | | 0.40% | default | Feb 2026 | Official leaderboard |
Scores at each effort level
Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.
Source: Official CulturalRiddles leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| | default | 79.4% | |||
| GPT-5.5 | none | 76.3% | |||
| Claude Opus 4.7 | high | 66% | |||
| GPT-5.5 | search | 64.5% | |||
| | high | 63.8% | |||
| Claude Opus 4.7 | default | 59.7% | |||
| | default | 58.8% | |||
| | default | 39.6% | |||
| | default | 39.2% | |||
| | N/A | 38.5% | |||
| | default | 28% | |||
| | N/A | 19.6% | |||
| | N/A | 15.2% | |||
| | N/A | 14.7% | |||
| | default | 11.3% | |||
| | N/A | 10.4% | |||
| | N/A | 8.30% | |||
| | N/A | 7.60% | |||
| | N/A | 7.00% | |||
| | N/A | 6.90% | |||
| | N/A | 6.80% | |||
| | N/A | 6.80% | |||
| | default | 0.40% |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official CulturalRiddles leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official CulturalRiddles leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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